Image Transmission Based on Wireless Sensor Networks with Compression Algorithm Implementation

Application Background: Image transmission over wireless sensor networks represents a critical challenge in WSN systems. To enhance processing efficiency and reduce energy consumption, we can implement image compression techniques that require minimal memory usage. By selecting appropriate image compression algorithms (such as JPEG variants optimized for embedded systems), we can support various application scenarios while improving processor bandwidth utilization and reducing both processing energy consumption and image transmission costs. Implementation often involves quantization tables and Huffman coding for efficient data representation.

Key Technology: Image compression technology serves to reduce processor bandwidth utilization, decrease energy consumption during processing operations, and achieve efficient image transmission. Typical implementations include algorithm optimization for low-power devices, featuring bit-rate control mechanisms and quality scaling parameters to balance compression ratios with image fidelity requirements.